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Hyperparameter tuning-based triple correlation for spectral analysis-enabled image recovery from moving water surface

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Abstract

Higher order spectra are more significant in several challenges, where non-linearity, noise, and non-Gaussian are the most essential factors. These characteristics must be established to be provided in natural images. It offers higher order spectra and particularly the third-order called bispectrum is considered as the emerging tool in image processing for image recovery. The main goal of this paper is the development of a novel multi-objective image recovery model through third-order spectral analysis for recovering images from moving surfaces. The processing phase of the image recovery covers three phase’s image pre-processing, lucky region selection, and image recovery. The lucky region selection is performed by the bicoherence method and dice coefficient method. Finally, the hyper-parameter tuning-based triple correlation method is developed as the advanced third-order spectral analysis for image recovery. Here, the multi-objective function is performed based on the proposed Adaptive Escaping Energy-based Harris Hawks Optimization (AEE-HHO) for enhancing the third-order spectral analysis-based image recovery. The quantitative metrics associated with overall performance demonstrate the effectiveness of the state-of-the-art reconstruction models.

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Authors and Affiliations

  1. Department of ECE, Koneru Lakshmaiah Education Foundation (KLEF), Vaddeswaram, Guntur, A.P, India

    Kattela Pavan Kumar & Matcha Venu Gopala Rao

  2. Department of ECE, KSRM College of Engineering (Autonomous), Kadapa, A.P, India

    Moram Venkatanarayana

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  1. Kattela Pavan Kumar
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  2. Matcha Venu Gopala Rao
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  3. Moram Venkatanarayana
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Correspondence to Kattela Pavan Kumar.

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Kumar, K.P., Rao, M.V.G. & Venkatanarayana, M. Hyperparameter tuning-based triple correlation for spectral analysis-enabled image recovery from moving water surface. Int J Intell Robot Appl 7, 205–225 (2023). https://doi.org/10.1007/s41315-022-00254-y

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